Search Results - "Huang, Yuk Feng"

Extreme gradient boosting (Xgboost) model to predict the groundwater levels in Selangor Malaysia by Ahmedbahaaaldin Ibrahem Ahmed Osman, Ali Najah Ahmed, Ming Fai Chow, Yuk Feng Huang, Ahmed El-Shafie

“…Groundwater levels have been declining recently in Malaysia. This is why, the current study was aimed to propose an accurate groundwater levels prediction…”
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Predicting crop yields using a new robust Bayesian averaging model based on multiple hybrid ANFIS and MLP models by Ommolbanin Bazrafshan, Mohammad Ehteram, Sarmad Dashti Latif, Yuk Feng Huang, Fang Yenn Teo, Ali Najah Ahmed, Ahmed El-Shafie

“…Predicting crop yield is an important issue for farmers. Food security is important for decision-makers. The agriculture industry can more accurately supply…”
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Assessing rainfall prediction models: Exploring the advantages of machine learning and remote sensing approaches by Latif, Sarmad Dashti, Alyaa Binti Hazrin, Nur, Hoon Koo, Chai, Lin Ng, Jing, Chaplot, Barkha, Feng Huang, Yuk, El-Shafie, Ahmed, Najah Ahmed, Ali

“…Using a comparison of three different major types, the best predictive model was determined. Statistical models and machine learning algorithms automatically…”
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Prediction of hydropower generation via machine learning algorithms at three Gorges Dam, China by Marwah Sattar Hanoon, Ali Najah Ahmed, Arif Razzaq, Atheer Y. Oudah, Ahmed Alkhayyat, Yuk Feng Huang, Pavitra kumar, Ahmed El-Shafie

“…Machine learning models have been effectively applied to predict certain variable in several engineering applications where the variable is highly stochastic…”
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Performance improvement for infiltration rate prediction using hybridized Adaptive Neuro-Fuzzy Inferences System (ANFIS) with optimization algorithms by Ehteram, Mohammad, Teo, Fang Yenn, Ahmed, Ali Najah, Dashti Latif, Sarmad, Huang, Yuk Feng, Abozweita, Osama, Al-Ansari, Nadhir, El-Shafie, Ahmed

“…The infiltration process during irrigation is an essential variable for better water management and hence there is a need to develop an accurate model to…”
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Long-term forecasting of climatic parameters using parametric and non-parametric stochastic modelling by Chia, Min Yan, Huang, Yuk Feng, Koo, Chai Hoon, Chong, Zheng Rong

“…Climatic parameters fluctuate dynamically and their turbulences become more significant as the influence of the climate change increases. A robust model that…”
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Water quality index prediction with hybridized ELM and Gaussian process regression by Wai, Kok Poh, Koo, Chai Hoon, Huang, Yuk Feng, Chong, Woon Chan

“…The Department of Environment (DOE) of Malaysia evaluates river water quality based on the water quality index (WQI), which is a single number function that…”
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Feasibility of bootstrap aggregating to enhance extreme learning machine for reference evapotranspiration estimation by Chia, Min Yan, Huang, Yuk Feng, Koo, Chai Hoon, Lai, Lik Sheng

“…Estimation of evapotranspiration (ET) is a challenging, yet important task as the ET value can be used to predict many other natural phenomena. In this work,…”
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Estimating evapotranspiration from temperature and wind speed data using artificial and wavelet neural networks (WNNs) by Falamarzi, Yashar, Palizdan, Narges, Huang, Yuk Feng, Lee, Teang Shui

“…•We modeled the evapotranspiration from the temperature data.•We utilized the artificial neural networks and the wavelet neural networks models.•An adopted…”
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Improving the performance of streamflow forecasting model using data-preprocessing technique in Dungun River Basin by Tiu, Ervin Shan Khai, Huang, Yuk Feng, Ling, Lloyd

“…An accurate streamflow forecasting model is important for the development of flood mitigation plan as to ensure sustainable development for a river basin. This…”
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A review of the hybrid artificial intelligence and optimization modelling of hydrological streamflow forecasting by Ibrahim, Karim Sherif Mostafa Hassan, Huang, Yuk Feng, Ahmed, Ali Najah, Koo, Chai Hoon, El-Shafie, Ahmed

“…Ever since the first introduction of Artificial Intelligence into the field of hydrology, it has further generated immense interest in researching aspects for…”
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Modelling monthly pan evaporation utilising Random Forest and deep learning algorithms by Abed, Mustafa, Imteaz, Monzur Alam, Ahmed, Ali Najah, Huang, Yuk Feng

“…Evaporation is the primary aspect causing water loss in the hydrological cycle; therefore, water loss must be precisely measured. Evaporation is an intricate…”
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Coupling fuzzy–SVR and boosting–SVR models with wavelet decomposition for meteorological drought prediction by Fung, Kit Fai, Huang, Yuk Feng, Koo, Chai Hoon

“…Drought is a climatic occurrence of prolonged and abnormal moisture deficiency resulting from meteorological anomalies. Despite its negative impact to…”
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Predicting suspended sediment load in Peninsular Malaysia using support vector machine and deep learning algorithms by Essam, Yusuf, Huang, Yuk Feng, Birima, Ahmed H., Ahmed, Ali Najah, El-Shafie, Ahmed

“…High loads of suspended sediments in rivers are known to cause detrimental effects to potable water sources, river water quality, irrigation activities, and…”
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Quantitative analysis of input data uncertainty for SPI and SPEI in Peninsular Malaysia based on the bootstrap method by Tan, Yi Xun, Ng, Jing Lin, Huang, Yuk Feng

“…Drought assessment has attracted attention in the research community, especially regarding the accuracy of drought indices due to input data uncertainty. This…”
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Streamflow prediction with large climate indices using several hybrid multilayer perceptrons and copula Bayesian model averaging by Panahi, Fatemeh, Ehteram, Mohammad, Ahmed, Ali Najah, Huang, Yuk Feng, Mosavi, Amir, El-Shafie, Ahmed

“…•Several hybrid multilayer Perceptrons and Coupla Bayesian model averaging are proposed for streamflow prediction.•Multilayer Perceptrons had been trained…”
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Design of a hybrid ANN multi-objective whale algorithm for suspended sediment load prediction by Ehteram, Mohammad, Ahmed, Ali Najah, Latif, Sarmad Dashti, Huang, Yuk Feng, Alizamir, Meysam, Kisi, Ozgur, Mert, Cihan, El-Shafie, Ahmed

“…There is a need to develop an accurate and reliable model for predicting suspended sediment load (SSL) because of its complexity and difficulty in practice…”
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Application of long short-term memory neural network technique for predicting monthly pan evaporation by Abed, Mustafa, Imteaz, Monzur Alam, Ahmed, Ali Najah, Huang, Yuk Feng

“…Evaporation is a key element for water resource management, hydrological modelling, and irrigation system designing. Monthly evaporation (Ep) was projected by…”
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Predicting streamflow in Peninsular Malaysia using support vector machine and deep learning algorithms by Essam, Yusuf, Huang, Yuk Feng, Ng, Jing Lin, Birima, Ahmed H., Ahmed, Ali Najah, El-Shafie, Ahmed

“…Floods and droughts are environmental phenomena that occur in Peninsular Malaysia due to extreme values of streamflow (SF). Due to this, the study of SF…”
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Suspended sediment load prediction using artificial neural network and ant lion optimization algorithm by Banadkooki, Fatemeh Barzegari, Ehteram, Mohammad, Ahmed, Ali Najah, Teo, Fang Yenn, Ebrahimi, Mahboube, Fai, Chow Ming, Huang, Yuk Feng, El-Shafie, Ahmed

“…Suspended sediment load (SSL) estimation is a required exercise in water resource management. This article proposes the use of hybrid artificial neural network…”
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